DocumentCode
1796603
Title
VM scheduling strategies based on artificial intelligence in Cloud Testing
Author
Yang Zheng ; Lizhi Cai ; Shidong Huang ; Zhihong Wang
Author_Institution
Sch. of Inf. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
fYear
2014
fDate
June 30 2014-July 2 2014
Firstpage
1
Lastpage
7
Abstract
Virtualization technology not only is the basis of Cloud computing technology, but also plays an important role in Cloud Testing. Cloud Testing takes advantage of virtualization technology to generate VM (virtual machine) resources in the physical machine, and adopts the corresponding strategies to schedule the VM resources. VM scheduling strategies have a crucial impact on the overall performance of Cloud Testing. The paper first introduces the scheduling process of VM in Cloud Testing, and divides the common scheduling strategies into three categories: center on saving energy, center on load balancing and center on Qos performance. Then the common VM scheduling strategies in current Cloud Testing environment are analyzed. Finally, their advantages and disadvantages are also discussed.
Keywords
artificial intelligence; cloud computing; program testing; virtual machines; Qos performance; VM resources; VM scheduling strategies; artificial intelligence; cloud computing technology; cloud testing; load balancing; saving energy; virtual machine; virtualization technology; Cloud computing; Genetic algorithms; Load management; Processor scheduling; Quality of service; Scheduling; Testing; Cloud Testing; Cloud computing; VM; Virtual Machine scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014 15th IEEE/ACIS International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/SNPD.2014.6888746
Filename
6888746
Link To Document